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@nvckai
nvckai / gametime-badge.md
Last active October 19, 2026 02:00
Discord Game Time Badge Spoofer

Discord Game Time Badge Spoofer (5000 Hours)

How to use

  1. Open Discord client, press Ctrl + Shift + I to open DevTools (Discord client only, Browser is not supported)
  2. Go to Console tab
  3. Type allow pasting and press Enter
  4. Paste the snippet below and press Enter

Snippet

@VeteranoSecurity
VeteranoSecurity / youtube-adblock.user.js
Created October 16, 2026 04:43
YouTube & YouTube Music Adblock Userscript
// ==UserScript==
// @name YouTube & YouTube Music Adblock (API Interceptor)
// @namespace http://tampermonkey.net/
// @version 6.0
// @description Bloqueia anúncios na raiz (nível de API/Rede) no YouTube e YouTube Music, como o uBlock Origin
// @author Anton / Enhanced
// @match *://*.youtube.com/*
// @match *://music.youtube.com/*
// @exclude *://accounts.youtube.com/*
// @exclude *://www.youtube.com/live_chat_replay*
@undone37
undone37 / china-ipc.md
Last active October 19, 2026 01:52
Information on Zosi Wifi IP Camera (IPC PE3010-W) - China IP Wifi Camera

Information on Zosi Wifi IP Camera (IPC PE3010-W) - China IP Wifi Camera

IPC PE3010-W

Device Info

Device Name ip-camera

Device Model IPC

Hardware Version 1.3.0.

@jboner
jboner / latency.txt
Last active October 19, 2026 01:51
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
@yanhua1010
yanhua1010 / CLAUDE-routing.md
Last active October 19, 2026 01:50
Claude Code 工作流/子代理的模型智能分配(2026-10 版:fable/opus/sonnet/haiku + Codex/DeepSeek/Grok)

Model routing (multi-model inside Claude Code)

Main session runs on a Claude model. Delegate with the Agent tool and pick by this table (higher is better; cost = how cheap it actually is for this user, not list price).

route how cost intelligence taste use for
fable Agent model: fable 2 10 9 hardest reasoning, architecture, final review
opus Agent model: opus 4 8 8 user-facing output: UI, copy, API design (taste ≥ 7)
sonnet Agent model: sonnet 6 6 7 errands, browser/computer use, medium tasks
@lucataco
lucataco / DEBLOAT.md
Last active October 19, 2026 01:47
webos-debloat: reversible debloat for rooted LG webOS TVs (hide bloat tiles, stop preloading, turn off promos/ACR)

webos-debloat

One shell script that makes a rooted LG webOS TV lighter and quieter:

  • hides bloat tiles and background apps from the launcher
  • stops preloading apps the TV keeps in RAM whether or not you open them
  • turns off home-screen promotions, promo videos, sports alerts, content recommendations and Live Plus (ACR)

Nothing is deleted and the root filesystem is never touched. It only edits

@GameLord2011
GameLord2011 / rick.0.gif
Last active October 19, 2026 01:44 — forked from T3M1N4L/rick.0.gif
Rick
rick.0.gif
@GameLord2011
GameLord2011 / rick.1.gif
Last active October 19, 2026 01:44 — forked from T3M1N4L/rick.1.gif
roll
rick.1.gif

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.